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articles/applied-ai-services/form-recognizer/containers/form-recognizer-container-install-run.md

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@@ -57,6 +57,7 @@ You also need the following to use Form Recognizer containers:
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| **Familiarity with Docker** | You should have a basic understanding of Docker concepts, like registries, repositories, containers, and container images, as well as knowledge of basic `docker` [terminology and commands](/dotnet/architecture/microservices/container-docker-introduction/docker-terminology). |
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| **Docker Engine installed** | <ul><li>You need the Docker Engine installed on a [host computer](#host-computer-requirements). Docker provides packages that configure the Docker environment on [macOS](https://docs.docker.com/docker-for-mac/), [Windows](https://docs.docker.com/docker-for-windows/), and [Linux](https://docs.docker.com/engine/installation/#supported-platforms). For a primer on Docker and container basics, see the [Docker overview](https://docs.docker.com/engine/docker-overview/).</li><li> Docker must be configured to allow the containers to connect with and send billing data to Azure. </li><li> On **Windows**, Docker must also be configured to support **Linux** containers.</li></ul> |
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|**Form Recognizer resource** | A [**single-service Azure Form Recognizer**](https://portal.azure.com/#create/Microsoft.CognitiveServicesFormRecognizer) or [**multi-service Cognitive Services**](https://portal.azure.com/#create/Microsoft.CognitiveServicesAllInOne) resource in the Azure portal. To use the containers, you must have the associated key and endpoint URI. Both values are available on the Azure portal Form Recognizer **Keys and Endpoint** page: <ul><li>**{FORM_RECOGNIZER_KEY}**: one of the two available resource keys.<li>**{FORM_RECOGNIZER_ENDPOINT_URI}**: the endpoint for the resource used to track billing information.</li></li></ul>|
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|Optional|Purpose|
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|---------|----------|
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|**Azure CLI (command-line interface)** | The [Azure CLI](/cli/azure/install-azure-cli) enables you to use a set of online commands to create and manage Azure resources. It's available to install in Windows, macOS, and Linux environments and can be run in a Docker container and Azure Cloud Shell. |

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